{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from keras.optimizers import Adam\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from matplotlib import cm\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tensorflow.keras.utils import plot_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Load\n",
    "df = pd.read_csv('D:/Denoising/Autoencoder/LSTM_SAE/RawData/Samsung.txt', sep = ',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalization\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "scaler = MinMaxScaler()\n",
    "scaled = scaler.fit_transform(df[['CLOSE']])\n",
    "df[\"Close\"] = scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make Time Series Data Set\n",
    "size = 20\n",
    "total_stock_list2 = np.zeros((len(df)-size+1,size,1))\n",
    "count = 0\n",
    "for i in range(len(df)-size+1):\n",
    "    end_idx = i+size\n",
    "    dff = df[i:end_idx]\n",
    "    dff.reset_index(inplace = True)\n",
    "    if len(dff)>=size:\n",
    "        for j in range(size):\n",
    "            total_stock_list2[count][j][0] = dff[\"Close\"][j]            \n",
    "        count += 1\n",
    "    #print(\"{} / {}\".format(i+1, len(total_stock_list2)))\n",
    "    \n",
    "# Split Train and Test Set\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(total_stock_list2, total_stock_list2, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm (LSTM)                 (None, 20, 20)            1760      \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 20, 20)            0         \n",
      "                                                                 \n",
      " lstm_1 (LSTM)               (None, 20, 15)            2160      \n",
      "                                                                 \n",
      " dropout_1 (Dropout)         (None, 20, 15)            0         \n",
      "                                                                 \n",
      " lstm_2 (LSTM)               (None, 10)                1040      \n",
      "                                                                 \n",
      " dropout_2 (Dropout)         (None, 10)                0         \n",
      "                                                                 \n",
      " repeat_vector (RepeatVector  (None, 20, 10)           0         \n",
      " )                                                               \n",
      "                                                                 \n",
      " lstm_3 (LSTM)               (None, 20, 10)            840       \n",
      "                                                                 \n",
      " dropout_3 (Dropout)         (None, 20, 10)            0         \n",
      "                                                                 \n",
      " lstm_4 (LSTM)               (None, 20, 15)            1560      \n",
      "                                                                 \n",
      " dropout_4 (Dropout)         (None, 20, 15)            0         \n",
      "                                                                 \n",
      " lstm_5 (LSTM)               (None, 20, 20)            2880      \n",
      "                                                                 \n",
      " dropout_5 (Dropout)         (None, 20, 20)            0         \n",
      "                                                                 \n",
      " time_distributed (TimeDistr  (None, 20, 1)            21        \n",
      " ibuted)                                                         \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 10,261\n",
      "Trainable params: 10,261\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# Build Model\n",
    "model = keras.Sequential()\n",
    "\n",
    "timestamp = total_stock_list2.shape[1]\n",
    "features = total_stock_list2.shape[2]\n",
    "\n",
    "# Encoder LSTM cell1\n",
    "model.add(keras.layers.LSTM(units=20, input_shape=(timestamp, features), return_sequences = True))\n",
    "model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "# Encoder LSTM cell2\n",
    "model.add(keras.layers.LSTM(units=15, return_sequences=True))\n",
    "model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "# Encoder LSTM cell3\n",
    "model.add(keras.layers.LSTM(units=10, return_sequences=False))\n",
    "model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "model.add(keras.layers.RepeatVector(timestamp))\n",
    "\n",
    "# Decoder LSTM cell1\n",
    "model.add(keras.layers.LSTM(units=10, return_sequences=True))\n",
    "model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "# Decoder LSTM cell2\n",
    "model.add(keras.layers.LSTM(units=15, return_sequences=True))\n",
    "model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "# Decoder LSTM cell3\n",
    "model.add(keras.layers.LSTM(units=20, return_sequences=True))\n",
    "model.add(keras.layers.Dropout(rate=0.2))\n",
    "\n",
    "model.add(keras.layers.TimeDistributed(keras.layers.Dense(features)))\n",
    "model.compile(loss='mse', optimizer = Adam(learning_rate = 0.0001))\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_model(model, to_file='model_shapes.png', show_shapes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Train Model\n",
    "history = model.fit(x_train, y_train, epochs=500, batch_size=10,validation_split=0.1,shuffle=True, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check Loss\n",
    "plt.figure(figsize = (10,8))\n",
    "y_vloss = history.history[\"val_loss\"]\n",
    "y_loss = history.history[\"loss\"]\n",
    "\n",
    "x_len = np.arange(len(y_loss))\n",
    "plt.plot(x_len, y_vloss, marker='.', c ='red', label = 'Validation-set Loss')\n",
    "plt.plot(x_len, y_loss, marker='.', c ='blue', label = 'Train-set Loss')\n",
    "\n",
    "\n",
    "plt.legend(loc='upper right')\n",
    "plt.grid()\n",
    "plt.xlabel('epoch')\n",
    "plt.ylabel('loss')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "46/46 [==============================] - 6s 9ms/step\n"
     ]
    }
   ],
   "source": [
    "# Predict\n",
    "pred = model.predict(total_stock_list2)\n",
    "\n",
    "# Sum all window size units\n",
    "mean_list = [0 for i in range(len(df))]\n",
    "for i in range(len(total_stock_list2)):\n",
    "    for j in range(20):\n",
    "        mean_list[i+j] += pred[i][j]\n",
    "\n",
    "# Calculate average\n",
    "mean_list2= []\n",
    "count = 19\n",
    "for i in range(len(mean_list)):\n",
    "    if i < 20:\n",
    "        mean_list2.append(mean_list[i] / (i+1))\n",
    "    elif i >=20 and (i <= len(mean_list)-20):\n",
    "        mean_list2.append(mean_list[i] / 20)\n",
    "    else:\n",
    "        mean_list2.append(mean_list[i] / count)\n",
    "        count -= 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compare origin and denoised\n",
    "st_price = []\n",
    "for i in range(len(df[\"Close\"])):\n",
    "    st_price.append(df[\"Close\"][i])\n",
    "\n",
    "plt.figure(figsize = (15,10))\n",
    "plt.plot(mean_list2, label = 'denoised')\n",
    "plt.plot(st_price, label = 'origin')\n",
    "plt.grid()\n",
    "plt.legend(loc ='upper right')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Price')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.5 ('base': conda)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "616f588775ebd5684723f0fc88bdf016eafcafb45847b72d0199a5bd69bf316d"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
